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TylerIlunga

Procore MCP Server

List Productivity Logs

list_productivity_logs
Read-onlyIdempotent

Retrieve paginated productivity logs for a project, filtered by date range or creator. Use page and per_page to control pagination.

Instructions

Returns all Productivity Logs for the current date. See Working with Daily Logs for information on filtering the response using the log_date, start_date, and end_date parameters. Note that if none of the date parameters are provided in the call, only logs from the current date are returned. Use this to enumerate Daily Log records when you need a paginated overview, to find IDs, or to filter by query parameters. Returns a paginated JSON array of Daily Log records. Use page and per_page to control pagination; the response includes pagination metadata. Required parameters: project_id. Procore API: Project Management > Daily Log. Endpoint: GET /rest/v1.0/projects/{project_id}/productivity_logs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
log_dateNoQuery string parameter — date of specific logs desired in YYYY-MM-DD format
start_dateNoQuery string parameter — start date of specific logs desired in YYYY-MM-DD format (use together with end_date)
end_dateNoQuery string parameter — end date of specific logs desired in YYYY-MM-DD format (use together with start_date)
filters__created_by_idNoQuery string parameter — returns item(s) created by the specified User IDs.
pageNoQuery string parameter — page number for paginated results (default: 1)
per_pageNoQuery string parameter — number of items per page (default: 100, max: 100)
filters__daily_log_segment_idNoQuery string parameter — daily Log Segment ID filter
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds value by explaining the default date behavior (current date if no date parameters) and pagination details (page, per_page, pagination metadata), which are not covered by annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is reasonably concise and well-structured: purpose first, then date parameter explanation, usage, response format, pagination, required param, and API info. It front-loads the core purpose. The inclusion of a documentation link is helpful but slightly extends length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 8 parameters and no output schema, the description covers key aspects: default date behavior, filtering options, pagination, required project_id, and a link to further documentation. It is complete enough for a list tool without explaining every return field.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds context beyond schema by explaining the default date behavior when no date parameters are provided and by explicitly stating that page and per_page control pagination with metadata in the response.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool returns all Productivity Logs for the current date, with a specific verb ('Returns') and resource ('Productivity Logs'). It differentiates from sibling list tools by specifying the exact resource type and default date behavior.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives usage context ('Use this to enumerate Daily Log records when you need a paginated overview, to find IDs, or to filter by query parameters') but does not explicitly state when NOT to use it or mention alternative tools among siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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